Christopher Bishop
#3,006
Most Influential Person Now
Scientist at Microsoft Research Cambridge and Professor of Computer Science at the University of Edinburgh
Why Is Christopher Bishop Influential?
(Suggest an Edit or Addition)According to Wikipedia, Christopher Michael Bishop is a British computer scientist. He is a Microsoft Technical Fellow and Director of Microsoft Research AI4Science. He is also Honorary Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. Chris was a founding member of the UK AI Council, and in 2019 he was appointed to the Prime Minister’s Council for Science and Technology.
Christopher Bishop's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Pattern Recognition and Machine Learning (2006) (10183)
- Pattern Recognition and Machine Learning (Information Science and Statistics) (2006) (9005)
- Neural networks for pattern recognition (1995) (8578)
- Classification and regression (1997) (798)
- Novelty detection and neural network validation (1994) (636)
- Neural Network for Pattern Recognition (1995) (563)
- Neural Network for Pattern Recognition (1995) (563)
- Neural Network for Pattern Recognition (1995) (563)
- Neural Network for Pattern Recognition (1995) (563)
- Neural networks and their applications (1994) (401)
- Mixture density networks (1994) (328)
- The MIT Encyclopedia of the Cognitive Sciences (1999) (323)
- Neural networks and machine learning (1998) (171)
- An intelligent shell for the toroidal pinch (1989) (144)
- Analysis of multiphase flows using dual-energy gamma densitometry and neural networks (1993) (111)
- Advances in Neural Information Processing Systems 14 (2002) (100)
- Improvements on Twin Support Vector Machines (2011) (89)
- Regularization and complexity control in feed-forward networks (1995) (88)
- Fast curve fitting using neural networks (1992) (87)
- Stability of localized MHD modes in divertor tokamaks – a picture of the H-mode (1986) (76)
- Latent Variable Models (1998) (72)
- Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics (2003) (66)
- Neural networks: a pattern recognition perspective (1996) (61)
- Magnification factors for the SOM and GTM algorithms (1997) (53)
- Bayesian Statistics 8 (2007) (52)
- Ideal MHD ballooning stability in the vicinity of a separatrix (1984) (50)
- Curvature-Driven Smoothing in Backpropagation Neural Networks (1992) (38)
- Advances in Neural Information Processing Systems 8 (NIPS 1995) (1991) (34)
- On the difficulty of determining tearing mode stability (1991) (34)
- Neural Networks for Pattern Recognition.@@@Pattern Recognition and Neural Networks. (1997) (33)
- Proceedings of the 17th Symposium on Fusion Technology (1992) (32)
- Interpretation of body-mounted accelerometry in flying animals and estimation of biomechanical power (2013) (27)
- On the relationship between Bayesian error bars and the input data density (1995) (26)
- Resistive ballooning modes and the second region of stability (1987) (25)
- Degenerate toroidal magnetohydrodynamic equilibria and minimum B (1986) (24)
- Automatic analysis of JET charge exchange spectra using neural networks (1993) (22)
- Stochastic six-degree-of-freedom flight simulator for passively controlled high-power rockets (2011) (21)
- Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations (1990) (21)
- Nonequilibrium Ionization in a High‐Pressure Cesium‐Helium Transient Discharge (1963) (18)
- Pattern Recognition and Machine Learning, 2006 (2012) (18)
- An upper bound on the Bayesian error bars for generalized linear regression (1997) (17)
- Modeling Conditional Probability Distributions for Periodic Variables (1996) (16)
- Neural network approach to energy confinement scaling in Tokamaks (1992) (16)
- Bifurcated temperature profiles and the H-mode (1987) (14)
- An Introduction to Graphical Models (2001) (13)
- Nonthermal Ionization in Transient Helium‐Cesium Discharges (1961) (12)
- Advances in Neural Information Processing Systems 15 (NIPS 2002) (2002) (11)
- Modelling conditional probability distributions for periodic variables (1995) (11)
- Stability of anisotropic-pressure tokamak equilibria to ideal ballooning modes (1985) (10)
- Bayesian methods for neural networks (1995) (10)
- Proceedings International Conference on Artificial Neural Networks ICANN'95 (1995) (10)
- Learning in Graphical Models (1999) (10)
- Machines that learn (2005) (10)
- Stability of toroidicity-induced drift waves in divertor tokamaks (1989) (9)
- Proceedings Eighth International Conference on Artificial Intelligence and Statistics (2001) (8)
- A Neural Network Approach to Tokamak Equilibrium Control (1992) (7)
- UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence (2003) (6)
- Neural Networks and their Diagnostic Applications (1992) (6)
- Theoretical Foundations of Neural Networks (1996) (6)
- Automatic Relevance Determination for the Estimation of Relevant Features for Object Recognition (2006) (5)
- Artificial Life (2019) (4)
- Neural network validation: an illustration from the monitoring of multi-phase flows (1993) (4)
- Neural network training using multi-channel data with aggregate labelling (1999) (4)
- Latent variable models and data visualisation (2000) (4)
- Advances in Learning Theory: Methods, Models and Applications (2003) (4)
- An Investigation of Coupled Energy and Particle Transport (1994) (4)
- Pattern Recognition and Feed-forward Networks (2004) (4)
- Recent Progress in the Measurement and Analysis of ECE on JET (1995) (3)
- Ballooning Δ’ in the second stable region (1990) (3)
- Discussion of `Bayesian Treed Generalized Linear Models' by H. A. Chipman, E. I. George and R. E. McCulloch (2002) (3)
- On Computing the KL Divergence for Bayesian Neural Networks (1997) (2)
- Neural networks: A principled perspective (1996) (2)
- Estimating the dynamic and aerodynamic paramters of passively controlled high power rockets for flight simulaton (2009) (2)
- Hierarchical models for data visualization (1997) (2)
- Latent Variables, Topographic Mappings and Data Visualization (1998) (2)
- Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD) (2011) (1)
- Handbook of Neural Computation (1996) (1)
- Density Modulation during Modulated ECRH in DITE (1989) (1)
- H-mode Confinement in JET (1987) (1)
- Multiphase flow monitoring in oil pipelines (1995) (1)
- Proceedings of Physics Computing 96, Krakow (1996) (1)
- Proceedings 15th European Conference on Controlled Fusion and Plasma Physics, Dubrovnik (1988) (1)
- Real-time control of a tokamak plasma using a hardware neural network (1995) (1)
- Proceedings 12 European Conference on Controlled Fusion and Plasma Physics, Budapest (1985) (1)
- Microinstability-based models for confinement properties and ignition criteria in tokamaks (1987) (1)
- Modelling wind direction from satellite scatterometer data (1995) (1)
- Generalization in Neural Networks and Machine Learning (2001) (1)
- Proceedings 16th European Conference on Controlled Fusion and Plasma Physics (1989) (1)
- Semi-classical technique in field theory : some applications (1983) (0)
- Resistive ballooning modes under plasma edge conditions (1988) (0)
- Proceedings 1997 Workshop on Self-Organizing Maps (1997) (0)
- NONEQUILIBRIUM IONIZATION IN TRANSIENT HELIUM-CESIUM DISCHARGES (1962) (0)
- Pattern Recognition and Feedforward Neural Networks (1999) (0)
- Variational B ayesian Independent Component Analysis (2000) (0)
- Proceedings 17th European Physical Society on Controlled Fusion and Plasma Heating (1994) (0)
- Book Review: Neural Networks, An Introduction by B. Muller and J. Reinhardt, Springer-Verlag (1991) (0)
- Book Review: Neural Networks, An Introduction by B. Muller and J. Reinhardt, Springer-Verlag (1991) (0)
- Performance of a physics engine running on a GPU (2005) (0)
- Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, AISTATS 2003, Key West, Florida, USA, January 3-6, 2003 (2003) (0)
- Proceedings Ninth International Conference on Artificial Intelligence and Statistics 2003 (2003) (0)
- Improved Variational Approximation for Bayesian PCA (2003) (0)
- Modelling Conditional Probability Densities for Periodic Variables (1997) (0)
- RECOMMENDER SYSTEM WITH FAST MATRIX FACTORIZATION USING INFINITE DIMIENSIONS (2017) (0)
- Proceedings of the 9th International Workshop on ECE and ECRH (1995) (0)
- Artificial Neural Networks, 1993., Third International Conference on (1993) (0)
- animals and estimation of biomechanical power Interpretation of body-mounted accelerometry in flying (2014) (0)
- Pattern Recognition and Machine Learning Ch. 13. Sequential data (2007) (0)
- niSTRIGuTIGii OF THIS HGSUIVIEHT IS UNLIMITED -2- I. ANALYSIS OF ANOMALOUS THEFMAL CONFINEMENT IN TOKAMAKS (2009) (0)
- A Special Class of Toroidal MHD Equilibria Including Minimum-B (1985) (0)
- The Semi-Classical Method in Field Theory (1983) (0)
- Proceedings 11th European Conference on Plasma Physics and Controlled Fusion Research, Kyoto (1986) (0)
- Topological charge distribution in SU(N) gauge theories (1983) (0)
- Ballooning Delta-prime in the Second Stable Region (1990) (0)
- Clumps, Clusters and Classification (2004) (0)
- The Semi-Classical Method in Field Theory (1983) (0)
- Direct Losses of Alpha Particles in Spin Polarised Plasmas (1988) (0)
- The to O L B O X -user's Guide (2004) (0)
- On-Line Learning in Neural Networks: Foreword (1999) (0)
- Alpha particle induced magnetoacoustic instability in a thermonuclear plasma (1989) (0)
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